Showing category results for Machine Learning

This blog post introduces a comprehensive evaluation framework for enterprise chatbots powered by large language models (LLMs), specifically addressing the challenges of assessing Line of Business (LOB) agents in business-critical environments. The authors tackle the fundamental problem that traditional chatbot evaluation metrics fail to capture th...

Steps to Produce High Quality Ground Truth Pairs for AI Systems

This post presents a hierarchical waterfall framework for evaluating query classification, retrieval, and generation in multi-agent LLM systems.

data science and software engineering teams can choose the best tools for their respective roles in delivering machine learning models to production.

How to manage multiple independent python projects, with different dependencies, inside Visual Studio Code.

This blog post explores the development and evaluation of an AI assistant that converts natural language into robotic code.

Azure Machine Learning is known for training and deploying models, but can also be used for running experiments. This blog post will show us how we have implemented our Evaluation platform on Azure Machine Learning.

Potential semantic routing solution using Azure AI Search for scalable query handling.

Solution of store inventory allocation problem of CPG

Our team used AI tools to write code, documentation, indexes, etc. extensively during our last engagement. This post will talk about what we used and how we used it.